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Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation pp 199–212Cite as

PrOnto: A Local Search Engine for Digital Libraries

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 541))

Abstract

This chapter describes system PrOnto version 2.0 and results of work on this system in the SYNAT project. After the introduction, the chapter presents shortly the functionality of PrOnto that is a system of personalized search for information and knowledge in large text repositories. Further the chapter presents elements of the personalized ontological profile of the user, the problem of finding similar concepts in many such profiles, and the issue of finding interesting documents in large text repositories, together with tests of the system and conclusions.

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Notes

  1. 1.

    Some of such reasons might be the diversification of access rights and the issues of intellectual property. It is telling that Google search engine never publishes their methods of ranking (even in Google Scholar, where only additional logical constraints are used to select, e.g., publications of a given researcher) but recently came to the conclusion that the used methods of ranking should be modified; this indicates the importance of research on methods of ranking for search engines.

  2. 2.

    The final assessment is the arithmetic average rating given by the testers in the range 1–5.

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Acknowledgments

This work has been supported by the National Centre for Research and Development (NCBiR) under research grant no. SP/I/1/77065/10 SYNAT: “Establishment of the universal, open, hosting and communicational, repository platform for network resources of knowledge to be used by science, education and open knowledge society” as a part of a strategic programme for Research and Development: “The interdisciplinary system of scientific and technological information”.

Author information

Authors and Affiliations

  1. National Institute of Telecommunications, Szachowa Str. 1, 04-894, Warsaw, Poland

    Janusz Granat, Edward Klimasara, Anna Mościcka, Sylwia Paczuska & Andrzej P. Wierzbicki

Authors
  1. Janusz Granat
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  2. Edward Klimasara
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  3. Anna Mościcka
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  4. Sylwia Paczuska
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  5. Andrzej P. Wierzbicki
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Corresponding author

Correspondence to Andrzej P. Wierzbicki .

Editor information

Editors and Affiliations

  1. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Robert Bembenik

  2. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Łukasz Skonieczny

  3. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Henryk Rybiński

  4. Faculty of Electronics and Information Technology, Warsaw University of Technology, Institute of Computer Science, Warsaw, Poland

    Marzena Kryszkiewicz

  5. InterdisciplinaryCentre for Mathematical and Computational Modelling (ICM), University of Warsaw, Warsaw, Poland

    Marek Niezgódka

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Granat, J., Klimasara, E., Mościcka, A., Paczuska, S., Wierzbicki, A.P. (2014). PrOnto: A Local Search Engine for Digital Libraries. In: Bembenik, R., Skonieczny, Ł., Rybiński, H., Kryszkiewicz, M., Niezgódka, M. (eds) Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation. Studies in Computational Intelligence, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-04714-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-04714-0_13

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  • Online ISBN: 978-3-319-04714-0

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